Lead Data Analyst
4 weeks ago
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
At UnitedHealth Group and Optum, we want to make healthcare work better for everyone. This depends on hiring the best and brightest. With a thriving ecosystem of investment and innovation, our business in India is constantly growing to support the healthcare needs of the future.
Our teams are at the forefront of building and adapting the latest technologies to propel healthcare forward in a way that better serves everyone. With our hands at work across all aspects of health, we use the most advanced development tools, engineering, data science, AI and innovative approaches to make the healthcare system work better for everyone.
As a Fortune 4 business, we're one of the world's leading healthcare companies. There are no limits here on the resources you'll have or the challenges you'll encounter.
As a Lead Data Analyst, you will be responsible for the development of complex data sources and pipelines into our data platform (i.e. Snowflake) along with other data applications (i.e. Azure, Terraform, etc.), automation and innovation.
Shift time: 3.30 to 1 am IST
Location : Noida, Sector
Primary Responsibilities:
Create & maintain data pipelines using Azure & Snowflake as primary toolsCreate SQL Stored procs and Functions to perform complex transformationsUnderstand data requirements and design optimal pipelines to fulfil the use-casesCreating logical & physical data models to ensure data integrity is maintainedCode management, CI/CD pipeline creation & automation using GitHub & GIT ActionsTuning and optimizing data processesDesign and build best in class processes to clean and standardize dataCode Deployments to production environment, troubleshoot production data issuesModelling of big volume datasets to maximize performance for our Business Intelligence & Data Science TeamComply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do soRequired Qualifications:
Undergraduate degree or equivalent experienceComputer Science bachelor's degree or similarTotal 8-10 years and Strong Hands-on relevant experience of minimum 4-6 years is required. Excellent communication skills – Verbal and WrittenExcellent knowledge of SQLExcellent knowledge of Azure Services such as – Blobs, Functions, Azure Data Factory, Service Principal, Containers, Key Vault, etc.Excellent knowledge of Snowflake - Architecture, Features, Best practices Excellent knowledge of Data warehousing & BI SolutionsExcellent Knowledge of change data capture (CDC), ETL, ELT, SCD etc.Hands on experience on the following technologies: Developing data pipelines in Azure & SnowflakeWriting complex SQL queriesBuilding ETL/ELT/data pipelines using SCD logicQuery analysis and optimization Analytical and problem-solving experience applied to a Big Data datasetsData warehousing principles, architecture and its implementation in large environmentsExperience working in projects with agile/scrum methodologies and high performing team(s)Knowledge of different data modelling techniques such as Star Schema, Dimensional models, Data vault is an AdvantageExperience in code lifecycle management and repositories such as GIT & GitHubExposure to DevOps methodologyGood understanding of Access control and Data maskingPreferred Qualifications:
Knowledge and experience on Terraform, CI CD Pipelines and automation is an advantageAutomation and orchestration using ADF Create real-time analytics pipelines using Snowpipe StreamingExperience developing optimized data models for Viz tool E.g. Tableau, PowerBI is an AdvantageExposure and experience in other programming language such as Python, Spark etc. is an advantageHands-on experience of CI CD Pipelines using GIT & GIT ActionsUnderstanding of United States Healthcare data and applicable regulationsAt UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.
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